This survey is a prevalence study involving a sample of U.S. citizens. I am using a website as the primary platform to collect data in this survey; the participants received a link through SMS and emails. So far, the survey is going on as planned with no major challenges. I am anticipating that I will be able to complete the survey by the deadline so that I can have adequate time for data analysis. Currently, everything is working well. I have managed to send the links to the survey to about a quarter of the 1000 participants, which is a pretty good start. Out of the links sent, about 164 of the participants have responded by participating in the survey, which is a good sign since I sent the links a few days ago. Besides the response, I am pleased that the participants in the survey are from different backgrounds. The participation of individuals from different backgrounds will ensure that my research does not overlook any minority group.
From what I have seen so far from the responses of individuals who have participated in the survey and turned in their responses, more than 93% of them understand the questions well. Besides, most of the answers provided are relevant to the question, which shows an understanding of the participants' side. While going through some of the responses provided, I believe that the answers provided come from an authentic perspective considering the impacts of burdensome health costs. From what I can see, most of the participants are providing an honest opinion about the healthcare cost in the country. Based on the current response rate, I may not meet my sample. Currently, I have not received responses from all the individuals that I have contacted. Even after contacting more, I am not very sure that all of them will agree to participate in the survey. However, I will try to contact more people to ensure that I hit my 1000 participants target.
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First, the survey collected transverse data; though the study established associations between health statuses, income, burdensome costs, and insurance, I could not assign causality. For instance, expensive healthcare might cause poor health and shallow utilization of healthcare services rather than high utilization and poor health leading to costly medical services (Richman & Brodie, 2014). Therefore, it seems that poor health and inadequate resources might lead to expensive medical services. Secondly, the poll evaluates the challenges experienced in covering medical bills and financial stability. Individuals living with difficulties could hold back to avoid sharing such confidential information. This limitation could bias the data collected towards null instead of a positive finding of healthcare expenses. Lastly, the exploratory analysis is problematic. The survey aims at identifying people's perspectives on healthcare costs, socioeconomic status, and factors influencing medical expenses. Exploratory analysis can provide false negative or positive outcomes. Importantly, the previous studies conducted provide further information about medical costs and the risk factors influencing healthcare costs. Therefore, the existing literature provides plausible interpretations validating this online survey. The survey guaranteed high-security measures and confidentiality to encourage the respondents to provide honest and authentic information. A line graph will be used in this study. A line graph can work in this study as it can easily show small changes, and the lines make general trends clear. Line graphs would represent the expected data in this survey better and provide an easy way to establish relationships between variables. Line graphs seem to offer a better comparison even with small changes taking place. The line graph will help draw relationships between age and burdensome costs.
References
Dickman, S. L., Woolhandler, S., Bor, J., McCormick, D., Bor, D. H., & Himmelstein, D. U. (2016). Health spending for low-, middle-, and high-income Americans, 1963–2012. Health Affairs , 35 (7), 1189–1196. https://doi.org/10.1377/hlthaff.2015.1024
Richman, I. B., & Brodie, M. (2014). A national study of burdensome health care costs among non-elderly Americans. BMC Health Services Research , 14 (1). https://doi.org/10.1186/1472-6963-14-435
